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Tianyi Wang

@tianyiwang

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Senior software engineer building low-latency distributed systems and scalable web services.

United States

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What I'm looking for

I’m looking for a role building low-latency, data-intensive distributed systems and scalable web services, with DevOps-style ownership. I want to drive performance debugging, observability, and CI/CD automation while writing maintainable, testable code.

I’m a Senior Software Engineer focused on building low-latency, data-intensive distributed systems and scalable web services. I deliver performance-critical components across streaming/analytics pipelines, including distributed SQL engines and high-throughput backends.

At Headlands Technologies, I designed a low-latency distributed trading data path and reduced end-to-end processing latency by 28% under peak load. I also improved throughput by 35% with batching, backpressure control, and cache-aware layouts, and I strengthened production reliability by cutting incident triage time by 40% using structured logging, Prometheus metrics, and failure-mode runbooks.

Previously at LinkedIn and Cloudera, I improved feed infrastructure and backend APIs to reach a 99.95% request success rate during traffic spikes, enhanced distributed analytics workflows, and optimized Apache Impala execution paths for large analytical workloads. I prefer DevOps-style ownership—pairing observability, performance debugging, and CI/CD automation with maintainable, testable code.

Experience

Work history, roles, and key accomplishments

Current

Research Developer

Current

Headlands Technologies LLC

Jun 2021 - Present (5 years)

Designed and implemented a low-latency distributed trading data path, reducing end-to-end processing latency by 28% under peak load. Built scalable streaming/web services processing near-TB/day volumes, improving throughput by 35% and cutting incident triage time by 40% through observability, runbooks, and performance-focused CI/CD automation.

CI CD Docker RBAC

Senior Software Engineer

Jan 2019 - Apr 2021 (2 years 3 months)

Redesigned backend APIs and caching layers to improve request success rate to 99.95% during traffic spikes. Delivered Python-based microservices for event ingestion and transformation, reducing regressions by 30%, improving data freshness by 25% with Presto-style execution, and cutting deployment time from 45 minutes to 18 minutes via expanded CI/CD coverage and automated testing.

Microservices Caching Contract Style Interfaces Presto Style Distributed Execution OAuth 2.0 TLS CI CD

Software Engineer

Cloudera

Jul 2017 - Dec 2018 (1 year 5 months)

Optimized Apache Impala distributed SQL execution paths for large analytical workloads by improving operator scheduling and memory management. Implemented correctness and performance improvements across Hadoop ecosystem integrations, and used Linux-level profiling and instrumentation to debug production-like distributed execution bottlenecks with unit tests and regression suites.

Apache Impala Apache Hadoop Operator Scheduling Memory Management Regression Testing Unit Testing Instrumentation